Determination of watermelon soluble solids content based on visible/near infrared spectroscopy with convolutional neural network

Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

Wartini Ng, Budiman Minasny, Maryam Montazerolghaem et al. · Geoderma · 2019 · 444 citations

Natural Sciences, Earth Sciences, Soil Sciences +15

Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration

Chenhao Cui, Tom Fearn · Chemometrics and Intelligent Laboratory Systems · 2018 · 308 citations · Full text

Computing, Computer Science, Computer Vision +12

Deep learning for vibrational spectral analysis: Recent progress and a practical guide

Jie Yang, Jinfan Xu, Xiaolei Zhang et al. · Analytica Chimica Acta · 2019 · 295 citations

Computing, Computer Science, Physics +17

Deep learning for near-infrared spectral data modelling: Hypes and benefits

Puneet Mishra, Dário Passos, Federico Marini et al. · TrAC Trends in Analytical Chemistry · 2022 · 198 citations · Full text

Natural Sciences, Chemistry, Computer Science +17

Deep learning in analytical chemistry

B. Debus, Hadi Parastar, Peter de B. Harrington et al. · TrAC Trends in Analytical Chemistry · 2021 · 173 citations

Natural Sciences, Chemical Engineering, Chemistry +8